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Spatial characterization of turbulent channel flow via complex networks
G Iacobello1, S Scarsoglio1, J G M Kuerten2
1Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Turin, Italy.
Physical Review. E
|August 17, 2018
Summary
This study uses network analysis to map turbulent channel flow, revealing how long-range connections link near-wall structures and influence flow dynamics.
Area of Science:
- Fluid Dynamics
- Complex Systems Analysis
Background:
- Turbulent channel flow is a fundamental problem in fluid dynamics.
- Understanding spatial structures in turbulence is crucial for predicting flow behavior.
Purpose of the Study:
- To introduce a novel network-based approach for characterizing turbulent channel flow fields.
- To spatially analyze the flow field using complex network theory.
Main Methods:
- Numerical solution of turbulent channel flow at Reτ=180.
- Construction of spatial networks based on streamwise and wall-normal velocity components.
- Utilizing correlation coefficients to define network links representing kinematic relations.
Main Results:
- Identified long-range links between near-wall regions, associated with persistent high and low-speed streaks.
- Demonstrated the role of long-range links as intermediaries for kinematic information flow.
- Network analysis revealed intricate spatial structures and dynamics of turbulence.
Conclusions:
- The network-based approach offers a powerful framework for interpreting spatial turbulence dynamics.
- This method enhances understanding beyond traditional two-point correlation analysis.
- The findings pave the way for improved spatial interpretation of turbulent flows.
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